Forward Deployed Researcher Director (Data as a Service)
Snorkel AI
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About the role
Role overview
Director, Forward Deployed Researcher (Data as a Service)
Snorkel AI is hiring a Director for the AI Solutions Engineering, DaaS team. This is a player-coach role where you lead a team of AI Solutions engineers, set technical standards, and partner with sales and cross-functional stakeholders. You will also engage directly with frontier AI research teams and act as an escalation point for complex customer situations.
Key missions & responsibilities
- Recruit, hire, and develop the AI Solutions team; coach on:
- technical quality
- customer engagement
- career growth
- Set and maintain the technical bar for:
- specifications
- evaluation frameworks
- customer deliverables
- Lead technical conversations for select strategic accounts, including:
- scoping and solution design
- collaboration/partnership with frontier AI research teams
- Serve as an escalation point for complex customer needs and technical challenges
Requirements
- 8+ years in applied ML / AI solutions engineering, technical presales, or research-intensive customer-facing roles
- Experience operating against revenue or pipeline goals in a GTM organization
- Comfort working in a fast-moving environment with ambiguity and rapid iteration
- Strong communication and coaching ability; credible partnership with:
- sales leadership
- frontier AI researchers
- Proven track record hiring and developing technical talent
- Strong expertise in frontier AI, including:
- LLMs
- training data pipelines
- evaluation methodologies
- post-training techniques: RLHF, DPO, RLAIF
- domain areas such as coding agents, reasoning, multimodal models, or RL environments
- B.S. in Computer Science, Machine Learning, or related field
- 5+ years managing/leading technical ICs, ideally in a presales or solutions engineering org
Nice-to-haves
- Experience specifically collaborating with frontier AI research teams on real customer deliverables
About Snorkel AI
Snorkel AI is an AI solutions and data-centric machine learning company focused on building and deploying applied AI systems. The role sits within the AI Solutions Engineering team, specifically the Data as a Service (DaaS) offering that supports customers with frontier AI development and deployment.
Scraped 8/1/2026